[Colloquium] Re: Reminder: 11/21 TTIC Colloquium: Elad Hazan, Princeton University

[Mary Marre via Colloquium]

When:     Monday, November 21st at 11:00 a.m.

Where:    TTIC, 6045 S. Kenwood Avenue, 5th Floor, Room 526

Who:       Elad Hazan, Princeton University


Title: A Non-Generative Framework and Convex Relaxations for Unsupervised
Learning


Abstract: We'll describe a novel theoretical framework for unsupervised
learning
which is not based on generative assumptions. It is comparative, and
allows to avoid known computational hardness results and improper
algorithms based on convex relaxations. We show how several families
of unsupervised learning models, which were previously only analyzed
under probabilistic assumptions and are otherwise provably
intractable, can be efficiently learned in our framework by convex
optimization. These includes dictionary learning and learning of
algebraic manifolds.

Joint work with Tengyu Ma

Bio: Elad Hazan is a professor of computer science at Princeton university.
His research focuses on the design and analysis of algorithms for basic
problems in machine learning and optimization. Amongst his contributions
are the co-development of the AdaGrad algorithm for training learning
machines, and the first sublinear-time algorithms for convex optimization.
He is the recipient of (twice) the IBM Goldberg best paper award in
2012 for contributions to sublinear time algorithms for machine learning,
and in 2008 for decision making under uncertainty, a European Research
Council grant, a Marie Curie fellowship and a Google Research Award
(twice). He
serves on the steering committee of the Association for Computational
Learning and has been program chair for COLT 2015.

host: Nathan Srebro <nati at ttic.edu>



For more information on the colloquium series or to subscribe to the
mailing list, please see http://www.ttic.edu/colloquium.php


Mary C. Marre
Administrative Assistant
*Toyota Technological Institute*
*6045 S. Kenwood Avenue*
*Room 504*
*Chicago, IL  60637*
*p:(773) 834-1757*
*f: (773) 357-6970*
*mmarre at ttic.edu <mmarre at ttic.edu>*

On Sun, Nov 20, 2016 at 10:56 PM, Mary Marre <mmarre at ttic.edu> wrote:

> When:     Monday, November 21st at 11:00 a.m.
>
> Where:    TTIC, 6045 S. Kenwood Avenue, 5th Floor, Room 526
>
> Who:       Elad Hazan, Princeton University
>
>
> Title: A Non-Generative Framework and Convex Relaxations for Unsupervised
> Learning
>
>
> Abstract: We'll describe a novel theoretical framework for unsupervised
> learning
> which is not based on generative assumptions. It is comparative, and
> allows to avoid known computational hardness results and improper
> algorithms based on convex relaxations. We show how several families
> of unsupervised learning models, which were previously only analyzed
> under probabilistic assumptions and are otherwise provably
> intractable, can be efficiently learned in our framework by convex
> optimization. These includes dictionary learning and learning of
> algebraic manifolds.
>
> Joint work with Tengyu Ma
>
> Bio: Elad Hazan is a professor of computer science at Princeton university.
> His research focuses on the design and analysis of algorithms for basic
> problems in machine learning and optimization. Amongst his contributions
> are the co-development of the AdaGrad algorithm for training learning
> machines, and the first sublinear-time algorithms for convex optimization.
> He is the recipient of (twice) the IBM Goldberg best paper award in
> 2012 for contributions to sublinear time algorithms for machine learning,
> and in 2008 for decision making under uncertainty, a European Research
> Council grant, a Marie Curie fellowship and a Google Research Award
> (twice). He
> serves on the steering committee of the Association for Computational
> Learning and has been program chair for COLT 2015.
>
> host: Nathan Srebro <nati at ttic.edu>
>
>
>
> For more information on the colloquium series or to subscribe to the
> mailing list, please see http://www.ttic.edu/colloquium.php
>
>
>
> Mary C. Marre
> Administrative Assistant
> *Toyota Technological Institute*
> *6045 S. Kenwood Avenue*
> *Room 504*
> *Chicago, IL  60637*
> *p:(773) 834-1757 <%28773%29%20834-1757>*
> *f: (773) 357-6970 <%28773%29%20357-6970>*
> *mmarre at ttic.edu <mmarre at ttic.edu>*
>
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